Performance-Aware Component Composition for GPU-based Systems.

• Superior document: Linköping Studies in Science and Technology. Dissertations Series ; v.1581
• Author: Dastgeer, Usman.
• Place / Publishing House: Linköping : : Linkopings Universitet,, 2014.; {copy}2014.
• Year of Publication: 2014
• Edition: 1st ed.
• Language: English
• Series: Linköping Studies in Science and Technology. Dissertations Series
• Physical Description: 1 online resource (258 pages)

Table of Contents

Front -- Abstract -- Acknowledgements -- 1.1 Motivation -- 1.2 Component-based approach -- 1.3 Optimized composition problem -- 1.4 Our work -- 1.5 Contributions -- 1.6 List of publications -- 1.7 Research Method -- 1.8 Thesis outline -- 2.1 Component-based software engineering -- 2.2 Skeleton programming -- 2.3 Runtime scheduling and selection using a runtime system -- 2.4 Multicore and OpenMP -- 2.5 Programming NVIDIA GPUs -- Chapter 3 -- 3.1 SkePU library -- 3.2 Implementation selection -- 3.3 Runtime support for hybrid execution -- 3.4 Evaluation -- 3.5 Case study on MapOverlap2D on CUDA -- 3.6 Summary -- Chapter 4 -- 4.1 Introduction -- 4.2 Memory management in SkePU -- 4.3 Evaluation -- 4.4 Containers with StarPU runtime system -- 4.5 SkePU program execution model -- 4.6 Summary -- 5.1 PEPPHER Component model -- 5.2 Composition tool -- 5.3 Prototype implementation -- 5.4 Composition example -- 5.5 Evaluation -- 5.6 Summary -- Chapter 6 -- 6.1 GCF Component Model -- 6.2 Global Composition Framework -- 6.3 Evaluation -- 6.4 Global composition -- 6.5 Summary -- 7.1 Three approaches -- 7.2 Concluding remarks -- 8.1 Skeleton programming -- 8.2 Programming approaches for GPU-based systems -- 8.3 Component Models in HPC and Grid Com-puting -- 9.1 SkePU extensions -- 9.2 PEPPHER Composition tool -- 9.3 Global Composition Framework (GCF).